It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

Given the breakneck speeds at which AI evolution is taking place, LLMs alone cannot meet enterprise needs. That is where ...

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...

Compacting an AI model to run faster. AI quantization is primarily performed at the inference side (user side) so that it can run more quickly in phones and desktop computers. For example, whereas the ...

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...

Creating pages only machines will see won’t improve AI search visibility. Data shows standard SEO fundamentals still drive AI ...

Why does it sometimes feel like the tools we rely on are getting worse, not better? Imagine asking a innovative AI model a question, only to receive a response that feels oddly incoherent or ...

Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...